Post Graduate Program in AI & ML

AI and ML Course FAQs

• What is an AI and machine learning course?

  An artificial intelligence and machine learning course teaches you how to build intelligent systems that learn from data, solve complex problems, and improve over time. It covers key concepts, algorithms, and real-world applications. This AI ML course combines a blend of live online classes, masterclasses from Purdue faculty and staff and IBM experts, industry-relevant, hands-on projects, and more to help you gain job-ready skills.

• How can I become an AI and ML engineer?

  To become an AI and machine learning engineer, you must develop a strong foundation in computer science, math, statistics, and software engineering. You’ll also need a solid understanding of AI and ML concepts and have competency in programming. A machine learning and AI course where you can work on real-world projects can help you learn these skills.

• What are the advantages of taking the AI ML course online?

  Purdue University's reputation as a leading research institution can give you confidence that you’ll gain a thorough and rigorous understanding of AI and machine learning. You’ll also get expert instruction from IBM industry experts in this comprehensive AI ML course. You will earn a joint program completion certificate from Purdue University and Simplilearn and industry-recognized certificates from IBM for IBM courses upon completion. Moreover, Simplilearn’s Career Services will help you build your resume and professional profile to attract recruiters.

• What sets the AI ML course apart in the competitive AI landscape, and what key concepts are covered?

  This AI and machine learning course, in collaboration with Purdue University, stands out in this competitive field. Its industry-driven curriculum, which emphasizes practical application over theory, ensures that students gain real-world experience in hands-on projects. This machine learning and AI course covers Python programming and its data science applications, deep learning with TensorFlow, GenAI, reinforcement learning, computer vision, NLP, and more.

• How do I enroll in this AI and machine learning course?

  Enrolling in this machine learning and artificial intelligence course takes three simple steps:

  • Submit your online application with a brief explanation of why you want to take the program

  • Our admissions panel will review and shortlist candidates based on their application

  • Selected applicants will receive an admission offer, which you can accept by paying the program fee

• Who are the instructors for this Post Graduate Program in AI & ML, and how were they selected?

  Our highly qualified instructors are industry experts with relevant industry experience. Each has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only trainers with a high alumni rating stay on. Purdue faculty and staff and IBM industry experts conduct masterclasses.

• What is the average salary post earning an AI and ML certificate from Purdue-Simplilearn?

  You can earn a high salary after earning an AI and machine learning certificate. Here are some examples of total annual compensation for AI and machine learning engineers:
  
  

  Job Role	Average Annual Pay (US)	Average Annual Pay (India)
  Machine Learning Engineer	$166K	₹15L
  Artificial Intelligence Engineer	$203K	₹11L

  Note: These figures include base salary and additional compensation (cash bonuses, stock options, profit sharing, etc.)

• Which industries highly value candidates with AI and machine learning course certificates?

  Many job opportunities will become reachable with an AI and machine learning certificate. Some specific examples of what industries need skilled AI and ML professionals to do include (but aren’t limited to):

  • Ecommerce: Improve recommendation engines, chatbots, and logistics.

  • Entertainment: Customize content, enhance viewer engagement, and streamline production.

  • Healthcare: Improve diagnostics, personalized treatment plans, and better patient care.

• How does this AI and machine learning course curriculum incorporate real-world applications?

  This machine learning and AI course allows you to work on over 25 real-world projects in integrated labs and three capstones to give you job-ready skills. Industry-relevant projects include (but aren’t limited to):

  • Ecommerce: Develop a shopping app using Python

  • Food Service: Forecast demand for items using data science techniques

  • Entertainment: Perform cluster analysis to create personalized song playlists

  • Healthcare: Leverage deep learning to diagnose genetic disorders

• Do I need to be a Purdue University student to apply for this AI and machine learning course?

  No, you don’t need to be a Purdue University student to take this online AI and machine learning training course. It’s available to anyone who meets the eligibility criteria, which includes:

  • A basic understanding of mathematics and programming concepts

  • A bachelor’s degree in a relevant discipline

  • Two years of professional experience (preferred)

• Can I keep working while studying this AI and machine learning course?

  Yes, you can keep working while taking this AI ML course online. However, you must make time in your schedule to complete the course content and projects.

• Does this AI and ML program require coding?

  You must learn how to code to complete this AI and machine learning training program. The program starts with an introductory course on Python programming and then moves on to more advanced coding courses like Python for Data Science and Applied Data Science with Python.

• What does an AI/ML Engineer do?

  AI and machine learning engineers develop systems and applications to help businesses improve efficiency and make better decisions. The day-to-day tasks they perform include (but aren’t limited to):

  • Build, test, and deploy AI and ML models/algorithms

  • Perform statistical analysis

  • Automate infrastructure

  • Evaluate model performance

  • Estimate and mitigate risks

  • Collaborate and communicate with multiple teams and stakeholders

• Is AI and ML hard to learn?

  The difficulty of learning AI and ML depends on your prior experience and knowledge. However, this machine learning and artificial intelligence course is designed to be accessible for learners at most levels. You can check the eligibility requirements and reach out to a course counselor to learn more about whether this AI ML course is right for you. You can also check out Simplielarn’s free SkillUP courses to gauge your preparedness for this more comprehensive program.

• Are Simplilearn’s courses eligible for reimbursement by my employer?

  Yes, Simplilearn’s Post Graduate Program in AI & ML, offered in collaboration with Purdue University, is eligible for employer reimbursement. We'd recommend confirming the specific terms of educational benefits or tuition assistance programs with your HR department or employer. Purdue University also accepts tuition vouchers, which can streamline reimbursement.